An Online Fuzzy-Based Approach for Human Emotions Detection: An Overview on the Human Cognitive Model of Understanding and Generating Multimodal Actions - Université de Bourgogne
Chapitre D'ouvrage Année : 2015

An Online Fuzzy-Based Approach for Human Emotions Detection: An Overview on the Human Cognitive Model of Understanding and Generating Multimodal Actions

Amir Aly
Connectez-vous pour contacter l'auteur

Résumé

An intelligent robot needs to be able to understand human emotions, and to understand and generate actions through cognitive systems that operate in a similar way to human cognition. In this chapter, we mainly focus on developing an online incremental learning system of emotions using Takagi-Sugeno (TS) fuzzy model. Additionally, we present a general overview for understanding and generating multimodal actions from the cognitive point of view. The main objective of this system is to detect whether the observed emotion needs a new corresponding multi-modal action to be generated in case it constitutes a new emotion cluster not learnt before, or it can be attributed to one of the existing actions in memory in case it belongs to an existing cluster.
Fichier principal
Vignette du fichier
STAR_ALY_27052015.pdf (1.08 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01157390 , version 1 (28-05-2015)

Licence

Domaine public

Identifiants

Citer

Amir Aly, Adriana Tapus. An Online Fuzzy-Based Approach for Human Emotions Detection: An Overview on the Human Cognitive Model of Understanding and Generating Multimodal Actions. S. Mohammed and J.C. Moreno and K. Kong and Y. Amirat. Intelligent Assistive Robots: Recent Advances in Assistive Robotics for Everyday Activities, 106, Springer International Publishing, pp.185-212, 2015, Springer Tracts in Advanced Robotics (STAR), ⟨10.1007/978-3-319-12922-8_7⟩. ⟨hal-01157390⟩
106 Consultations
656 Téléchargements

Altmetric

Partager

More